The Research and Application of Fuzzy Predictive Functional Control in DCS

Xiao Ming Liang; Hui Fang Wang; Wei Li; Ya Bo Sun

doi:10.4028/www.scientific.net/AMR.846-847.253

Paper Titles

Robust Admissibility Analysis of Switched Singular Systems with Linear Fractional Uncertainties
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Multivariable Decentralized Controller Performance Assessment Techniques Based on Improved User-Specified Benchmark
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An Intelligent Charging Station Matching Method for Electric Vehicles in Internet of Things
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Research on Data Collection and Control System for the Pump Units of Oil Pipeline Based on CompactRIO
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The Research and Application of Fuzzy Predictive Functional Control in DCS
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HMI Engineering Software Automation in UHVDC Transmission Project of Design and Implementation
p.258

Simulation Research of Fuzzy Controller with Sigmoid Scaling Factor
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Research of On-Line Monitoring Technology of Machining Accuracy of CNC Machine Tools
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Design of Intelligent Building Lighting System Based on CAN Bus
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847The Research and Application of Fuzzy Predictive...

The Research and Application of Fuzzy Predictive Functional Control in DCS

Abstract:

With the DCS of Zhejiang SUPCON as a platform, in view of the characteristics of the Electric heating jacketed boiler temperature are large inertia, large delay, the effect of the traditional PID control is not ideal, a fuzzy predictive control algorithm with nonlinear scaling factors is proposed, which combines the advantages of predictive functional control is not strict with prediction model, due to the introduction of nonlinear scaling factors, can improve the sensitivity of fuzzy controller effectively. Algorithm using Advan Trol-Pro configuration software to implemented. Through the application of the Electric heating jacketed boiler temperature control system which indicates that fuzzy predictive functional control based on DCS is feasible, it also can improve the system response speed, and realize the accuracy of the system stability and perfect controlling effect.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

253-257

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.253

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Online since:

November 2013

Authors:

Xiao Ming Liang*, Hui Fang Wang, Wei Li, Ya Bo Sun

Keywords:

DCS, Fuzzy Control, Predictive Functional Control, Time-Delay

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* - Corresponding Author

References

[1] Wang Hui-fang, Zhang Xin-ling, Liang Xiao-ming, Yao Rui-ying and Ye Xiu-rong: Industrial Control Computer, 2010, Vol. 23(1), P. 49-50, In Chinese.

Google Scholar

[2] Wang Xiao: The Research and Application of Modified Algorithms about Fuzzy Predictive Control, Zhejiang Sci-Tech University, (2011).

Google Scholar

[3] Wang Hui-fang, Liu Chao-ying, Song Xue-ling, Song Zhe-ying and Li Kai: Journal of Hebei University of Science and Technology, 2007, Vol. 28(4), P. 276-280, In Chinese.

DOI: 10.1109/gsis.2007.4443413

Google Scholar

[4] Guo Qi, Yang Xiu-Li, Ren Fang and Gao Jian: Control Engineering of China, 2011, Vol. 18(3), P. 360-363, In Chinese.

Google Scholar

[5] Wang Xiao-hong, Zhang Jia-liang and Yu Hong-liang: Control Engineering of China, 2011, Vol. 18(2), P. 232-247, In Chinese.

Google Scholar

[6] Liu Fu-cai, Liang Xiao-ming and Sun Li-ping: Control Engineering of China, 2006, Vol. 13(6), P. 563-566, In Chinese.

Google Scholar

[7] LIU Chao-ying and SONG Xue-ling, The Design and Analysis on A New Type of Fuzzy Controller, Proceedings of 2002 ICMLC, (2002).

Google Scholar